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machine-learning-library
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
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Hello everyone,
First of all, I want to take a moment to thank all contributors and people who supported this project in any way ;) you are awesome!
If you like the project and have any interest in contributing/maintaining it, you can contact me here or send me a msg privately:
- Email: nidhalbacc@gmail.com
PS: You need to be familiar with python and machine learning
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Feature request
As requested by some, and as @ekamioka started on this PR #244. It might be interesting to get some helper functions to use embeddings as it's not the simplest concept in deep learning.
What is the expected behavior?
Calling a few helper function to get all the correct parameters before using TabNet
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- Wikipedia
- Wikipedia
Hi,
There are still parts of boost library that are used inside mlpack, more specifically in here
mlpack/src/mlpack/core/tree/cosine_tree/cosine_tree.hppboost::heapmlpack/src/mlpack/core/data/load_arff.hppboost::tokenizermlpack/tests/main_tests/emst_test.cppboost::math::iround()mlpack/core/tree/cosine_tree/cosine_tree.cppboost::m